Statistics for Business and Economics
Statistics for Business and Economics
8th Edition
ISBN: 9780132745659
Author: Paul Newbold, William Carlson, Betty Thorne
Publisher: PEARSON
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Chapter 2, Problem 49E
To determine

Identify the variance and magnitude of variance.

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The table gives the joint probability distribution of the number of sports an individual plays (X) and the number of times she may get injured while playing (1) X=3 0.15 0.06 0.15 0.02 Y=4 Y=3 Y=2 Y=1 X=1 0.12 0.05 0.10 0.15 The covariance between X and Y. xy.is (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) The correlation between X and Y, con(X, Y), is (Round your answer to two decimal places. Enter a minus sign if your answer is negative) An increase in the number of sports an individual plays will tend to X=2 0.08 0.05 0.03 0.04 the number of times she may get injured while playing
18. An insurance agent has claimed that the average age of policy-holders who insure through him is less than the average for all agents, which is 30-5 years. A random sample of 100 policy-holders who had insured through him gave the following age distribution : Age last birthday 16-20 21-25 26-30 31-35 36-40 No. of persons 12 22 20 30 16 : Calculate the arithmetic mean and standard deviation of this distribution and use these values to test his claim at the 5% level of significance. You are given that Z (1-645) = (0-95.
Consider a sample with data values of 26, 24, 23, 15, 32, 36, 28, and 24. Compute the range, interquartile range, variance, and standard deviation. Round to 2 decimals, if necessary. Range Interquartile range Variance Standard deviation
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